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Stock returns and aggregate mutual fund flows: a system approach

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  • Heung-Joo Cha
  • Jaebeom Kim

Abstract

To investigate if the mutual fund flows have been a driving factor in the US stock market at the macro level, we combine information from the stock market with information from bond and money markets in a system method. The empirical evidence from Seemingly Unrelated Regression Error Correction Model (SURECM) and Granger and Sims causality tests in a system indicates that the fund flows are weakly exogenous and stock performance causes fund flows, implying that investors move their money to the securities that yield higher returns to rebalance their investment portfolios in the US market.

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  • Heung-Joo Cha & Jaebeom Kim, 2010. "Stock returns and aggregate mutual fund flows: a system approach," Applied Financial Economics, Taylor & Francis Journals, vol. 20(19), pages 1493-1498.
    • Handle: RePEc:taf:apfiec:v:20:y:2010:i:19:p:1493-1498
    DOI: 10.1080/09603107.2010.508714
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    References listed on IDEAS

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    Cited by:

    1. Ros Zam Zam Sapian & Jing Quan Lee, 2018. "Return, Volatility and Equity Fund Flows Linkages: Evidence from an Emerging Market," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(7), pages 172-186, July.
    2. Qureshi, Fiza & Kutan, Ali M. & Ghafoor, Abdul & Hussain Khan, Habib & Qureshi, Zeeshan, 2019. "Dynamics of mutual funds and stock markets in Asian developing economies," Journal of Asian Economics, Elsevier, vol. 65(C).
    3. Jaebeom Kim & Jung-Min Kim, 2020. "Stock returns and mutual fund flows in the korean financial markets: a system approach," Applied Economics, Taylor & Francis Journals, vol. 52(33), pages 3588-3599, June.
    4. Fiza Qureshi & Ali M. Kutan & Habib Hussain Khan & Saba Qureshi, 2019. "Equity fund flows, market returns, and market risk: evidence from China," Risk Management, Palgrave Macmillan, vol. 21(1), pages 48-71, March.
    5. Asil Oztekin, 0. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    6. Asil Oztekin, 2018. "Information fusion-based meta-classification predictive modeling for ETF performance," Information Systems Frontiers, Springer, vol. 20(2), pages 223-238, April.
    7. Yue Meinn GOH & Ros Zam Zam SAPIAN, 2017. "Return, Volatility And Fund Flows Linkages: Malaysian Evidence," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 59-69, November.

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